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The Decision Support for Incident Management (DSIM) project aims to research and develop core technologies for a new generation of human computer interfaces that support critical decision-making for users in high-performance and time critical environments. The research focuses on i) measuring the cognitive load experienced by human operators of large volume and complex information systems, in real-time and in an unobtrusive way; ii) optimising joint human-system integration via adaptive decision support based on human cognitive status and situational context.

The research in this project is ground on psychology and educational theories, and aims to optimise the human-machine interaction so that the mental effort required from the user is never too high (source of failure) nor too low (not economically viable). The DSIM project leverages and extends the outcomes of the STaR-UI project, building on the team expertise in cognitive load theory and multimodal user interfaces (speech and gesture in particular).

With commercial applications ranging from road and air traffic control, to elite sports and military, cognitive load measurement promises an optimal use of the mental capabilities for a given individual, at a give time. Modern systems have reached such a complexity level that it has become paramount to monitor the operator's performance, to avoid errors due to information overwhelm.

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